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ikim-uk-essen/GBERT-BioM-Translation-large
GBERT-BioM-Translation-large is a fill-mask model from ikim-uk-essen. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
This model is a medically continuously pre-trained version of deepset/gbert-large.
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From the Hugging Face model README
This model is a medically continuously pre-trained version of deepset/gbert-large.
The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.
| Dataset | Tokens | Documents |
|---|---|---|
| German PubMed | 5M | 16K |
| PubMed | 1,700M | 21M |
| MIMIC-III | 695M | 24M |
| Total | 2,400M | 45M |
| Model | CLEF eHealth 2019 | RadQA | GraSCCo | BRONCO150 | GGPONC 2.0 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F1 | P | R | F1 | EM | F1 | P | R | F1 | P | R | F1 | P | R | |
| GBERT-base | .816 | .818 | .815 | .794 | .707 | .642 | .617 | .676 | .833 | .818 | .849 | .770 | .761 | .780 |
| GBERT-large | .832 | .802 | .865 | .809 | .718 | .647 | .617 | .680 | .835 | .820 | .852 | .772 | .758 | .786 |
| GBERT-BioM-Translation-base | .825 | .851 | .801 | .808 | .716 | .661 | .642 | .681 | .842 | .824 | .861 | .780 | .766 | .794 |
| GBERT-BioM-Translation-large | .833 | .860 | .807 | .811 | .714 | .692 | .677 | .707 | .844 | .825 | .864 | .786 | .779 | .793 |
@misc{idrissiyaghir2024comprehensive,
title={Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding},
author={Ahmad Idrissi-Yaghir and Amin Dada and Henning Schäfer and Kamyar Arzideh and Giulia Baldini and Jan Trienes and Max Hasin and Jeanette Bewersdorff and Cynthia S. Schmidt and Marie Bauer and Kaleb E. Smith and Jiang Bian and Yonghui Wu and Jörg Schlötterer and Torsten Zesch and Peter A. Horn and Christin Seifert and Felix Nensa and Jens Kleesiek and Christoph M. Friedrich},
year={2024},
eprint={2404.05694},
archivePrefix={arXiv},
primaryClass={cs.CL}
}